The 50th Anniversary of the Metaphorical Butterfly Effect since Lorenz (1972): Multistability, Multiscale Predictability, and Sensitivity in Numerical Models

Author:

Shen Bo-Wen1ORCID,Pielke Roger A.2,Zeng Xubin3ORCID

Affiliation:

1. Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA

2. Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80203, USA

3. Department of Hydrology and Atmospheric Science, The University of Arizona, Tucson, AZ 85721, USA

Abstract

Lorenz rediscovered the butterfly effect, which is defined as the sensitive dependence on initial conditions (SDIC), in 1963. In 1972, he used the term “butterfly” as a metaphor to illustrate how a small perturbation can lead to a tornado with a complex structure. The metaphorical butterfly effect, which celebrated its 50th anniversary in 2022, is not precisely the same as the original butterfly effect with SDIC. To commemorate the 50th anniversary, a Special Issue was launched and invited the submission of research and review articles that can help to enhance our understanding of both the original and metaphorical butterfly effects. The Special Issue also sought recent developments in idealized Lorenz models and real-world models that address multistability, multiscale predictability, and sensitivity. The call for papers was opened 15 months prior to the completion of the Special Issue and features nine selected papers. This editorial provides a brief review of Lorenz models, introduces the published papers, and summarizes each one of them.

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference166 articles.

1. Deterministic nonperiodic flow;Lorenz;J. Atmos. Sci.,1963

2. Lorenz, E.N. (1972, January 29). Predictability: Does the flap of a butterfly’s wings in Brazil set off a tornado in Texas?. Proceedings of the 139th Meeting of AAAS Section on Environmental Sciences, New Approaches to Global Weather, GARP, AAAS, Cambridge, MA, USA.

3. Gleick, J. (1987). Chaos: Making a New Science, Penguin.

4. Lorenz, E.N. (1993). The Essence of Chaos, University of Washington Press.

5. The Nobel Committee for Physics (2021). Scientific Background on the Nobel Prize in Physics 2021 “For Groundbreaking Contributions to Our Understanding of Complex Physical Systems”, The Royal Swedish Academy of Sciences.

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